{"title":"SAS-like acoustic color processing for a single-hydrophone sonar platform","authors":"N. Wachowski, M. Azimi-Sadjadi, R. Holtzapple","doi":"10.1109/OCEANS.2010.5663828","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of using sonar data collected with a single-hydrophone to generate synthetic aperture sonar (SAS)-like images that display acoustic color information. Our previously-developed SAS-like acoustic color processing typically applies a coherence analysis framework to channels formed using the data of two hydrophone subarrays. Application of this method to single-hydrophone data requires significant modifications to the original framework since a synthetic aperture must be formed over the data from different pings, and hence a different approach to forming the data channels must be used. For this study, data collected using a single hydrophone mounted on a moving rail system that captures a buried underwater object from multiple aspects is used. The images generated by applying both a more conventional omega-k SAS and the revised SAS-like acoustic color processing methods to this data are evaluated based on their ability to provide information useful for detection, identification, and localization of objects.","PeriodicalId":363534,"journal":{"name":"OCEANS 2010 MTS/IEEE SEATTLE","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2010 MTS/IEEE SEATTLE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.2010.5663828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper addresses the problem of using sonar data collected with a single-hydrophone to generate synthetic aperture sonar (SAS)-like images that display acoustic color information. Our previously-developed SAS-like acoustic color processing typically applies a coherence analysis framework to channels formed using the data of two hydrophone subarrays. Application of this method to single-hydrophone data requires significant modifications to the original framework since a synthetic aperture must be formed over the data from different pings, and hence a different approach to forming the data channels must be used. For this study, data collected using a single hydrophone mounted on a moving rail system that captures a buried underwater object from multiple aspects is used. The images generated by applying both a more conventional omega-k SAS and the revised SAS-like acoustic color processing methods to this data are evaluated based on their ability to provide information useful for detection, identification, and localization of objects.